4 papers
TrainMover: An Interruption-Resilient Runtime for ML Training
ChonLam Lao, Jiaqi Gao, Jiamin Cao +13
Large-scale ML training jobs are frequently interrupted by hardware and software anomalies, failures, and management events. Existing solutions like checkpoint-restart or runtime r…
An LLM-based Agentic Framework for Accessible Network Control
Samuel Lin, Jiawei Zhou, Minlan Yu
Traditional approaches to network management have been accessible only to a handful of highly-trained network operators with significant expert knowledge. This creates barriers for…
Decouple and Decompose: Scaling Resource Allocation with DeDe
Zhiying Xu, Minlan Yu, Francis Y. Yan
Efficient resource allocation is essential in cloud systems to facilitate resource sharing among tenants. However, the growing scale of these optimization problems have outpaced co…
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
Jiawei Zhou, Woojeong Kim, Zhiying Xu +2
Understanding the traffic dynamics in networks is a core capability for automated systems to monitor and analyze networking behaviors, reducing expensive human efforts and economic…